iPhone 17 Pro iPhone18,1
Geekbench AI Score
4905
Single Precision Score
36035
Half Precision Score
49605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | September 21 2025 04:23 AM |
| Views | 518 |
| Notes | iPhone 17 Pro/12GB/256GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
16736
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
22674
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19308
313.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24288
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9906
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
148390
173.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
276191
323.7 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
18025
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25621
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
40710
483.7 IPS |
|
|
Face Detection (Q)
|
100% |
55446
658.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8223
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103237
795.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
171750
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
22801
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
251619
323.5 IPS |
|
|
Style Transfer (Q)
|
96% |
347891
448.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55785
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85452
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6534
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4647
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11258
193.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12516
216.3 IPS |
